1 citations · 1 across the 1 of their papers we have counts for
2 papers
eess.AS2021
Nonlinear Spatial Filtering in Multichannel Speech Enhancement
Kristina Tesch, Timo Gerkmann
The majority of multichannel speech enhancement algorithms are two-step procedures that first apply a linear spatial filter, a so-called beamformer, and combine it with a single-ch…
cs.SD2017★ 1 cited
Normalized Features for Improving the Generalization of DNN Based Speech Enhancement
Robert Rehr, Timo Gerkmann
Enhancing noisy speech is an important task to restore its quality and to improve its intelligibility. In traditional non-machine-learning (ML) based approaches the parameters requ…